API contact example
From Joey Marshall.
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(tidycensus)#API documentation
https://www.census.gov/data/developers/data-sets.html
Household Pulse Survey - since COVID 19, but still being updated. Info about sexuality, food insecurity, etc.
Has microdata via https://www.census.gov/programs-surveys/household-pulse-survey/datasets.html
5 year data on ACS has most amount of geography (smallest level of data)
Look at variable list and you can go and search for variables like rent
#rent variable found
rent <- "DP04_0142PE" #PE means percentage, m is MOE, mm is similar, other is count
rent_data <- get_acs(variables = rent,
geography = "county", #geometry = T returns the polygon data and allows for maps easily
geometry = TRUE,
survey = "acs5",
show_call = TRUE) #can add state and other things## Getting data from the 2017-2021 5-year ACS## Warning: • You have not set a Census API key. Users without a key are limited to 500
## queries per day and may experience performance limitations.
## ℹ For best results, get a Census API key at
## http://api.census.gov/data/key_signup.html and then supply the key to the
## `census_api_key()` function to use it throughout your tidycensus session.
## This warning is displayed once per session.## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.## Using the ACS Data Profile## Census API call: https://api.census.gov/data/2021/acs/acs5/profile?get=DP04_0142PE%2CDP04_0142PM%2CNAME&for=county%3A%2A##
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|======================================================================| 100%#using API key removes rate limitation
hist(rent_data$estimate, breaks = 20)
#map thing
rent_data |> mapview::mapview(zcol = "estimate", layer.name = "Median rent as a % of gross income")